Reducing Recidivism Through Correctional Programming: Using Meta-Analysis to Inform the RNR Simulation Tool

摘要: A reoccurring debate in the evidence-based corrections literature concerns how much impact adherence to practices can have on desired outcome: reduced recidivism. Translating knowledge is perhaps most pressing challenge currently facing movement. Using population measures, this chapter examines potential of scaling up use effective correctional interventions. The begins with a review existing meta-analyses examining effectiveness interventions and includes discussion meta-analytic findings been used inform simulation model that estimates principles intervention Study suggest large systematic aggregate recidivism rates; be by 20 % adhering increasing proportion offenders appropriate treatment. Number needed treat (NNT) analyses treating eight rehabilitative will prevent one future event; marked improvement over NNT criminal sanctioning programs where punishing 33 prevents event. When adhere match treatments offender risk need profiles, reduction increased 40 event four. implications these for improving outcomes at system level public health impacts are discussed.